A Modified Genetic Fuzzy Tree Based Moving Strategy for Nodes with Different Sensing Range in Heterogeneous WSN

This paper introduces a modified genetic fuzzy tree (GFT) based nodes moving strategy in heterogeneous WSN. Different from the former work [1], there are two kinds of nodes with different sensing range. In order to testify the tracking performance of the GFT moving strategy in this kind of WSN, we put forward a weighted Centroid localization algorithm. Simulation results show that the modified GFT moving strategy still suits for this kind of WSN. The tracking performance of the heterogeneous WSN improves a lot by using the moving strategy.